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Volumn 93, Issue , 2014, Pages 123-135

SAR change detection based on intensity and texture changes

Author keywords

Change detection; Graph cuts; Multivariate generalized Gaussian model; Robust principal component analysis; Synthetic aperture radar

Indexed keywords

GRAPHIC METHODS; PRINCIPAL COMPONENT ANALYSIS; SIGNAL DETECTION; TEXTURES;

EID: 84899911595     PISSN: 09242716     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.isprsjprs.2014.04.010     Document Type: Article
Times cited : (83)

References (46)
  • 1
    • 16444377217 scopus 로고    scopus 로고
    • An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images
    • Bazi Y., Bruzzone L., Melgani F. An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images. IEEE Trans. Geosci. Remote Sens. 2005, 43:874-887.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , pp. 874-887
    • Bazi, Y.1    Bruzzone, L.2    Melgani, F.3
  • 2
    • 77954758347 scopus 로고    scopus 로고
    • Unsupervised change detection in multispectral remotely sensed imagery with level set methods
    • Bazi Y., Melgani F., Al-Sharari H.D. Unsupervised change detection in multispectral remotely sensed imagery with level set methods. IEEE Trans. Geosci. Remote Sens. 2010, 48:3178-3187.
    • (2010) IEEE Trans. Geosci. Remote Sens. , vol.48 , pp. 3178-3187
    • Bazi, Y.1    Melgani, F.2    Al-Sharari, H.D.3
  • 3
    • 73249139477 scopus 로고    scopus 로고
    • Object based image analysis for remote sensing
    • Blaschke T. Object based image analysis for remote sensing. ISPRS J. Photogramm. Remote Sens. 2010, 65:2-16.
    • (2010) ISPRS J. Photogramm. Remote Sens. , vol.65 , pp. 2-16
    • Blaschke, T.1
  • 4
    • 29044447323 scopus 로고    scopus 로고
    • A detail-preserving scale-driven approach to change detection in multitemporal SAR images
    • Bovolo F., Bruzzone L. A detail-preserving scale-driven approach to change detection in multitemporal SAR images. IEEE Trans. Geosci. Remote Sens. 2005, 43:2963-2972.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , pp. 2963-2972
    • Bovolo, F.1    Bruzzone, L.2
  • 5
    • 33746427122 scopus 로고    scopus 로고
    • Graph cuts and efficient ND image segmentation
    • Boykov Y., Funka-Lea G. Graph cuts and efficient ND image segmentation. Int. J. Comput. Vision 2006, 70:109-131.
    • (2006) Int. J. Comput. Vision , vol.70 , pp. 109-131
    • Boykov, Y.1    Funka-Lea, G.2
  • 6
    • 4344598245 scopus 로고    scopus 로고
    • An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
    • Boykov Y., Kolmogorov V. An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Trans. Pattern Anal. Mach. Intell. 2004, 26:1124-1137.
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell. , vol.26 , pp. 1124-1137
    • Boykov, Y.1    Kolmogorov, V.2
  • 8
    • 0033707763 scopus 로고    scopus 로고
    • Automatic analysis of the difference image for unsupervised change detection
    • Bruzzone L., Prieto D.F. Automatic analysis of the difference image for unsupervised change detection. IEEE Trans. Geosci. Remote Sens. 2000, 38:1171-1182.
    • (2000) IEEE Trans. Geosci. Remote Sens. , vol.38 , pp. 1171-1182
    • Bruzzone, L.1    Prieto, D.F.2
  • 9
    • 0036543746 scopus 로고    scopus 로고
    • An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images
    • Bruzzone L., Prieto D.F. An adaptive semiparametric and context-based approach to unsupervised change detection in multitemporal remote-sensing images. IEEE Trans. Image Process. 2002, 11:452-466.
    • (2002) IEEE Trans. Image Process. , vol.11 , pp. 452-466
    • Bruzzone, L.1    Prieto, D.F.2
  • 10
    • 71049116435 scopus 로고    scopus 로고
    • Exact matrix completion via convex optimization
    • Candès E.J., Recht B. Exact matrix completion via convex optimization. Found. Comput. Math. 2009, 9:717-772.
    • (2009) Found. Comput. Math. , vol.9 , pp. 717-772
    • Candès, E.J.1    Recht, B.2
  • 12
    • 77951206556 scopus 로고    scopus 로고
    • Change detection in satellite images using a genetic algorithm approach
    • Celik T. Change detection in satellite images using a genetic algorithm approach. IEEE Geosci. Remote Sens. Lett. 2010, 7:386-390.
    • (2010) IEEE Geosci. Remote Sens. Lett. , vol.7 , pp. 386-390
    • Celik, T.1
  • 13
    • 0026278621 scopus 로고
    • A review of assessing the accuracy of classifications of remotely sensed data
    • Congalton R.G. A review of assessing the accuracy of classifications of remotely sensed data. Remote Sens. Environ. 1991, 37:35-46.
    • (1991) Remote Sens. Environ. , vol.37 , pp. 35-46
    • Congalton, R.G.1
  • 15
    • 3042673914 scopus 로고    scopus 로고
    • Gaussian MRF rotation-invariant features for image classification
    • Deng H., Clausi D.A. Gaussian MRF rotation-invariant features for image classification. IEEE Trans. Pattern Anal. Mach. Intell. 2004, 26:951-955.
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell. , vol.26 , pp. 951-955
    • Deng, H.1    Clausi, D.A.2
  • 16
    • 14644412825 scopus 로고    scopus 로고
    • Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field model
    • Deng H., Clausi D.A. Unsupervised segmentation of synthetic aperture radar sea ice imagery using a novel Markov random field model. IEEE Trans. Geosci. Remote Sens. 2005, 43:528-538.
    • (2005) IEEE Trans. Geosci. Remote Sens. , vol.43 , pp. 528-538
    • Deng, H.1    Clausi, D.A.2
  • 17
    • 0036474679 scopus 로고    scopus 로고
    • Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance
    • Do M.N., Vetterli M. Wavelet-based texture retrieval using generalized Gaussian density and Kullback-Leibler distance. IEEE Trans. Image Process. 2002, 11:146-158.
    • (2002) IEEE Trans. Image Process. , vol.11 , pp. 146-158
    • Do, M.N.1    Vetterli, M.2
  • 18
    • 84863477539 scopus 로고    scopus 로고
    • Fractal descriptors based on Fourier spectrum applied to texture analysis
    • Florindo J.B., Bruno O.M. Fractal descriptors based on Fourier spectrum applied to texture analysis. Phys. A: Stat. Mech. Appl. 2012, 391(20):4909-4922.
    • (2012) Phys. A: Stat. Mech. Appl. , vol.391 , Issue.20 , pp. 4909-4922
    • Florindo, J.B.1    Bruno, O.M.2
  • 19
    • 84859060840 scopus 로고    scopus 로고
    • Change detection in synthetic aperture radar images based on image fusion and fuzzy clustering
    • Gong M., Zhou Z., Ma J. Change detection in synthetic aperture radar images based on image fusion and fuzzy clustering. IEEE Trans. Image Process. 2012, 21:2141-2151.
    • (2012) IEEE Trans. Image Process. , vol.21 , pp. 2141-2151
    • Gong, M.1    Zhou, Z.2    Ma, J.3
  • 20
    • 34248156452 scopus 로고    scopus 로고
    • Fast algorithm for two-dimensional Otsu adaptive threshold algorithm
    • Hao Y., Zhu F. Fast algorithm for two-dimensional Otsu adaptive threshold algorithm. J. Image Graph. 2005, 4:014.
    • (2005) J. Image Graph. , vol.4 , pp. 014
    • Hao, Y.1    Zhu, F.2
  • 22
    • 84876726723 scopus 로고    scopus 로고
    • Change detection from remotely sensed images: From pixel-based to object-based approaches
    • Hussain M., Chen D., Cheng A., Wei H., Stanley D. Change detection from remotely sensed images: From pixel-based to object-based approaches. ISPRS J. Photogramm. Remote Sens. 2013, 80:91-106.
    • (2013) ISPRS J. Photogramm. Remote Sens. , vol.80 , pp. 91-106
    • Hussain, M.1    Chen, D.2    Cheng, A.3    Wei, H.4    Stanley, D.5
  • 23
    • 0026398342 scopus 로고
    • Unsupervised texture segmentation using Gabor filters
    • Jain A.K., Farrokhnia F. Unsupervised texture segmentation using Gabor filters. Pattern Recogn. 1991, 24:1167-1186.
    • (1991) Pattern Recogn. , vol.24 , pp. 1167-1186
    • Jain, A.K.1    Farrokhnia, F.2
  • 28
    • 58249088697 scopus 로고    scopus 로고
    • Color-texture segmentation using unsupervised graph cuts
    • Kim J.-S., Hong K.-S. Color-texture segmentation using unsupervised graph cuts. Pattern Recogn. 2009, 42:735-750.
    • (2009) Pattern Recogn. , vol.42 , pp. 735-750
    • Kim, J.-S.1    Hong, K.-S.2
  • 31
    • 46249094889 scopus 로고    scopus 로고
    • Texture-based segmentation of high resolution SAR images using contourlet transform and mean shift
    • Li, Y., He, M., 2006. Texture-based segmentation of high resolution SAR images using contourlet transform and mean shift. In: Information Acquisition, 2006 IEEE International Conference on. IEEE, pp. 201-206.
    • (2006) Information Acquisition, 2006 IEEE International Conference on. IEEE , pp. 201-206
    • Li, Y.1    He, M.2
  • 32
    • 0034246174 scopus 로고    scopus 로고
    • EdgeFlow: a technique for boundary detection and image segmentation
    • Ma W.-Y., Manjunath B. EdgeFlow: a technique for boundary detection and image segmentation. IEEE Trans. Image Process. 2000, 9:1375-1388.
    • (2000) IEEE Trans. Image Process. , vol.9 , pp. 1375-1388
    • Ma, W.-Y.1    Manjunath, B.2
  • 36
    • 34247344495 scopus 로고    scopus 로고
    • Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery
    • Moser G., Serpico S.B. Generalized minimum-error thresholding for unsupervised change detection from SAR amplitude imagery. IEEE Trans. Geosci. Remote Sens. 2006, 44:2972-2982.
    • (2006) IEEE Trans. Geosci. Remote Sens. , vol.44 , pp. 2972-2982
    • Moser, G.1    Serpico, S.B.2
  • 41
    • 84878701500 scopus 로고    scopus 로고
    • Glacier surface velocity estimation using repeat TerraSAR-X images: wavelet-vs. correlation-based image matching
    • Schubert A., Faes A., Kääb A., Meier E. Glacier surface velocity estimation using repeat TerraSAR-X images: wavelet-vs. correlation-based image matching. ISPRS J. Photogramm. Remote Sens. 2013, 82:49-62.
    • (2013) ISPRS J. Photogramm. Remote Sens. , vol.82 , pp. 49-62
    • Schubert, A.1    Faes, A.2    Kääb, A.3    Meier, E.4
  • 44
    • 80052941674 scopus 로고    scopus 로고
    • Geodesics on the manifold of multivariate generalized Gaussian distributions with an application to multicomponent texture discrimination
    • Verdoolaege G., Scheunders P. Geodesics on the manifold of multivariate generalized Gaussian distributions with an application to multicomponent texture discrimination. Int. J. Comput. Vision 2011, 95:265-286.
    • (2011) Int. J. Comput. Vision , vol.95 , pp. 265-286
    • Verdoolaege, G.1    Scheunders, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.